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        "date_start":"2025-04-30",
        "date_end":"2025-04-30",
        "time_start":"13:00:00",
        "time_end":"16:00:00",
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        "event_title":"Pre-Law Drop-Ins",
        "occurrence_title":"",
        "combined_title":"Pre-Law Drop-Ins",
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        "event_type":"Careers \/ Jobs",
        "event_type_id":"2",
        "description":"Pre-law advisors are available during drop-in hours to answer quick questions from all U-M Ann Arbor students and alumni.\r\n\r\nJoin the Queue: https:\/\/officehours.it.umich.edu\/queue\/1145",
        "occurrence_notes":"Join the Drop-In Queue",
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        "tags":["Alumni","All Majors Welcome","Advising","Admissions","Undergraduate Students","Transfer Students","Pre-Law","Law","Graduate School","Career","Applications"],
        "website":"https:\/\/officehours.it.umich.edu\/queue\/1145",
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        "date_end":"2025-04-30",
        "time_start":"13:30:00",
        "time_end":"15:00:00",
        "time_zone":"America\/Detroit",
        "event_title":"CoderSpaces - Wednesday",
        "occurrence_title":"",
        "combined_title":"CoderSpaces - Wednesday: weekly data science hubs",
        "event_subtitle":"weekly data science hubs",
        "event_type":"Workshop \/ Seminar",
        "event_type_id":"21",
        "description":"Are you grappling with a piece of code, trying to compute on a cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.\r\n\r\nAll members of the U-M community are invited to join our weekly virtual CoderSpaces to get research support and connect with others.\r\n\r\nTuesdays, 9:30-11 a.m. ET, via Zoom (Meeting ID:94181215786)\r\nWednesdays, 1:30-3 p.m. ET, via Zoom (Meeting ID: 98659357324)",
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        "tags":["Data Analysis","Data","Machine Learning","Information and Technology","Data Science","Data Management","Data Linkage","Data Curation","Data Collection"],
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        "date_end":"2025-04-30",
        "time_start":"14:00:00",
        "time_end":"15:50:00",
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        "event_title":"Who Chooses and Who Benefits? The Limits of Decentralized Choice",
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        "combined_title":"Who Chooses and Who Benefits? The Limits of Decentralized Choice: Christopher Campos, University of Chicago Booth School of Business",
        "event_subtitle":"Christopher Campos, University of Chicago Booth School of Business",
        "event_type":"Workshop \/ Seminar",
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        "description":"The majority of U.S. public school districts now offer school choice programs that allocate seats using a centralized algorithm but with voluntary participation. The optional nature of public school choice segments public education and raises critical questions: who chooses, who benefits, and what policy alternatives can produce better outcomes for children? This paper provides new evidence on these questions by studying the Los Angeles Unified School District, the largest opt-in system in the country. Analyzing two decades of lottery records, we find that students living closer to choice options are both more likely to participate and to experience larger achievement gains. The proximity-based treatment effect heterogeneity is not explained by other observable treatment effect heterogeneity, suggesting a potential role for unobserved demand-side factors. To assess the empirical relevance of this hypothesis, we rely on quasi-experimental variation in distance to schools due to large expansions in choice programming and lottery-based admission lotteries to estimate a generalized Roy model that links families' decisions to apply and enroll to achievement gains. Our estimates indicate that the families least likely to apply under the current system would realize the largest test score benefits if they participated. In other words, decentralized, opt-in systems not only segment public education markets based on student ability and socioeconomic status but also exacerbate existing inequalities in educational outcomes. Policy interventions---such as targeted information interventions that cultivate broader participation or mandate participation as is done in cities such as New York---could produce sizable achievement benefits for school districts.",
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        "tags":["seminar","Labor","Economics"],
        "website":"http:\/\/www.lsa.umich.edu\/econ",
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        "event_title":"2025 Research and Analytics Showcase",
        "occurrence_title":"",
        "combined_title":"2025 Research and Analytics Showcase: Explore cutting-edge educational research at the University of Michigan",
        "event_subtitle":"Explore cutting-edge educational research at the University of Michigan",
        "event_type":"Exhibition",
        "event_type_id":"7",
        "description":"Hosted by the Center for Academic Innovation, the Research and Analytics Showcase will celebrate research advancing the future of higher education. Join us for a series of lightning talks featuring researchers in our community, followed by poster presentations from students, faculty, and staff. Poster presentations are open to all University of Michigan community members interested in showcasing their work. Prizes for the top posters will be awarded during the event. \r\n\r\nFood and refreshments will be provided.\r\n\r\n*Poster Presentations*\r\nThe poster fair is intended to showcase educational research being conducted broadly across our community. Students, staff, and faculty are all invited to present. CAI will print your poster and have it ready for you at the event.\r\n\r\n*What Do You Need to Do?*\r\n\u2022 Register to attend\r\n\u2022 Indicate on the registration form that you want to present a poster\r\n\u2022 Review our guide for poster presenters\r\n\u2022 Submit your poster\r\n\r\n*About Our Speakers*\r\n\r\n*Vaibhav Balloli*\r\nVaibhav Balloli is a Ph.D. candidate at the Realize Lab, advised by Professor Elizabeth Bondi-Kelly at the University of Michigan. His research focuses on designing and deploying human-centered AI systems to address critical societal challenges. His research topics span human-AI collaboration, multi-agent systems, and large language models (LLMs). Currently, he is working on leveraging LLMs and LLM-powered agents to improve access to reproductive health information.\r\n\r\n*Sharon Jessica*\r\nSharon Jessica is a Research Associate in Computer Science and Engineering at the University of Michigan. She earned her master\u2019s in Educational Studies at the University of Michigan. Her research interests are STEM education and quantitative methods for education. She is currently researching computer science and artificial intelligence education with Professor Elizabeth Bondi-Kelly.\r\n\r\n*Shanley Corvite*\r\nShanley Corvite is a doctoral candidate at the University of Michigan School of Information, where she explores the role of social technologies in career development processes. Using qualitative methods, such as interviews and content analyses, her current research focuses on the content and communication of career messages on social media and their potential impact on emerging adults' career interests and aspirations. \r\n\r\n*Don Peurach*\r\nDon Peurach is a Professor of Educational Policy, Leadership, and Innovation at the University of Michigan Marsal Family School of Education. He is also the faculty lead of the EdHub for Community and Professional Learning in the Marsal School. His research focuses on the organization, management, and improvement of instruction in education systems, with a particular focus on network-based continuous improvement. He is the lead developer of \u201cTransforming Education in an Interconnected World,\u201d a professional learning series available on Coursera.\r\n\r\n\r\n*Innovation Showcases*\r\nInnovation Showcases are one-day events featuring faculty, staff, and students who discuss how they are transforming teaching and learning to support student success. Innovation Showcases are an opportunity to connect with the latest research, technology, and design practices in digital education.",
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